Metabolites

Journal Browser

► Journal Browser

Special Issue Editors

Dr. Xiang Li

E-Mail Website
Guest Editor

Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
Interests: nutritional epidemiology; gene-environment interaction; obesity; cardiovascular diseases; Type 2 diabetes; sleep

Dr. Zhengbao Zhu

E-Mail Website
Guest Editor

School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
Interests: cardiovascular diseases epidemiology; clinical epidemiology; genetic epidemiology; metabolomics; proteomics

Dr. Mengyao Shi

E-Mail
Guest Editor

School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
Interests: metabolomics study; genomics study; cardiovascular disease epidemiology

Special Issue Information

Dear Colleagues,

Diet and sleep are two main daily schedules of human. Emerging evidence has revealed the crucial roles of diet and sleep patterns in regulating cardiometabolic disorders, which is a constellation of interconnected risk factors including obesity, diabetes, high blood pressure, abnormal cholesterol, high triglycerides, and non-alcoholic fatty liver disease. On the other hand, it is also known that mental and neurological health (such as depression, schizophrenia, and Alzheimer’s disease) could largely affect the quality of daily diet and sleep, along with cardiometabolic disorders. Though the complex biological mechanisms underlying the bidirectional relations between diet and sleep with human health are not yet fully understood, the rapid development in metabolomics provides an opportunity to unveil those intricate relationships.

This Special Issue cordially invites submissions of original research or comprehensive review papers that address, but not limited to, human metabolites related to nutrition, sleep, chrono-nutrition, and various disease outcomes, including cardiometabolic disorders, mental health and neurological health. Due to the current limitations in measuring diet intake and sleep health, studies objectively measuring diet and sleep behaviors are of great interest. Investigations on metabolites and metabolites-related biomarker associated with sleep/diet-related diseases, such as depression, anxiety, schizophrenia, Alzheimer’s disease and cardiometabolic diseases, are also encouraged.

Dr. Xiang Li
Dr. Zhengbao Zhu
Dr. Mengyao Shi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

diet
nutrient
dietary patterns
chrono-nutrition
meal timing
sleep quality
sleep duration
metabolites
metabolites-related biomarker
mental health
neurological health
cardiometabolic health
endocrinology

Published Papers (1 paper)

Research

14 pages, 2063 KiB

Open AccessArticle

Exposure to OPFRs Is Associated with Obesity and Dysregulated Serum Lipid Profiles: Data from 2017–2018 NHANES

by He Li, Fenglin Li, Chaoyi Zhou, Jifan Bu, Hao Yang, Liangchen Zhong, Weilong Xing and Liangzhong Li

Metabolites 2024, 14(2), 124; https://0-doi-org.brum.beds.ac.uk/10.3390/metabo14020124 - 13 Feb 2024

Viewed by 1090

Abstract

Widespread exposure to organophosphorus flame retardants (OPFRs) has been observed in the general population. Emerging studies have revealed OPFRs possess endocrine-disturbing properties. The present study aims to assess the association between urinary metabolites of OPFRs, BMI, and serum lipid profiles. Data from the National Health and Nutrition Examination Survey (NHANES) 2017–2018 were obtained, with 1334 adults enrolled in the current study. Urinary concentrations of bis (1-chloro-2-propyl) phosphate (BCIPP), bis(2-chloroethyl) phosphate (BCEP), bis(1,3-dichloro-2-propyl) phosphate (BDCPP), dibutyl phosphate (DBUP), and diphenyl phosphate (DPHP) were quantified to assess OPFR exposure. Covariate-adjusted linear and logistic regression models were conducted to explore the associations between log₂-transformed concentrations of OPFR metabolites, BMI, obesity, and serum lipid profiles. Stratified analyses were performed to assess the heterogeneity of associations by age, gender, race, etc. Positive associations were found between OPFR exposure and the risk of obesity. The multivariate linear analysis indicated that a one-unit increase in log₂-transformed urinary concentrations of BCEP and BDCPP was associated with 0.27 (95% CI: 0.02–0.52, p = 0.0338) and 0.56 (95% CI: 0.25–0.87, p = 0.0004) higher BMI value, respectively. One log₂-unit increase in urinary BCEP and BDCPP concentrations was associated with 1.1-fold (95% CI: 1.02–1.18, p = 0.0096) and 1.19-fold (95% CI: 1.09–1.30, p = 0.0001) risk for developing obesity. Furthermore, the non-linear relationship between exposure to OPFRs and obesity was identified. Additionally, multivariable linear regression showed that urinary DPHP concentrations were inversely correlated with serum triglyceride (TG) levels (β = −7.41, 95% CI: −12.13 to −2.68, p = 0.0022). However, no other OPFR metabolites were found to be significantly statistically associated with serum lipid levels after adjusting for potential confounders. In conclusion, environmental exposure to OPFRs might contribute to obesity and dysregulated TG concentrations in adults. Future prospective research is warranted to confirm the causal relationship between metabolites of OPFRs and obesity. Full article

(This article belongs to the Special Issue Human Metabolites Associated with Diet, Sleep, and Related Diseases)

► Show Figures